MS in Computer Science, Arizona State University — Graduating December 2025
AI Engineer | Software Developer | Forward Deployed Engineer
I design and develop AI-driven systems that automate human-intensive workflows and integrate seamlessly into software engineering pipelines through APIs, cloud infrastructure, and intelligent automation.
My focus is on building scalable, data-driven solutions that deliver measurable results.
- ⚙️ 99% faster geotechnical analysis at ASU via full ML lifecycle on AWS
- 💰 20% reduction in infrastructure costs at LTIMindtree through scalable ETL pipelines
- 🕒 1000+ hours saved yearly by building internal workflow automation
- 🧠 Top 2% (239 / 10,000) in ICPC 2019
Developed an AI agent that slashed data retrieval time from 3 days to <1 hour for business teams by building a natural language wrapper to their database.
Tech: Python · RAG · LangChain · LangGraph · VectorDB · SQLite
- Model Context Protocol (MCP): designing frameworks for multi-model collaboration
- Agentic AI Workflows: building API-driven agents for adaptive automation
- Cloud AI Pipelines: developing scalable, cost-efficient inference systems on AWS and LangChain
If you want to chat about software engineering, AI, or hiking trails in Arizona, feel free to connect with me on:
“Automating today for a smarter tomorrow.”